Impact of HIV coinfection on tuberculosis treatment outcomes in Ethiopia: A systematic review and meta-analysis

Abstract

Objectives: Despite the implementation of a short-term direct observation treatment programme, HIV coinfection is one of the main determinants of tuberculosis (TB) treatment success. This meta-analysis was conducted to report the impact of HIV on TB treatment outcomes using inconsistent and variable study findings.

Design: Systematic review and meta-analysis was performed.

Data sources: The PubMed/Medline, Web of Science and Google Scholar databases were used to access the articles. The Joanna Briggs Institute (JBI) Meta-Analysis of Statistics Assessment and Review Instrument was used for the critical appraisal.

Eligibility criteria: All observational studies conducted in Ethiopia and reporting TB treatment outcomes in relation to HIV coinfection were included in the final analysis.

Data extraction and synthesis: Two independent reviewers extracted the data using a standardised data extraction format. The JBI critical appraisal tool was used to assess the quality of primary studies. Stata V.14 was used for the data analysis. Cochran’s Q statistic with inverse variance (I2) and funnel plot are used to assess the presence of heterogeneity (I2=94.4%, p<0.001) and publication bias, respectively. A random effect model was used to estimate TB treatment outcomes with a 95% CI.

Results: The overall success rate of TB treatment was 69.9% (95% CI 64% to 75%). The cure rate of TB among patients living with HIV was 19.3%. Furthermore, the odds of unsuccessful treatment among TB-HIV coinfected patients were 2.6 times greater than those among HIV nonreactive patients (OR 2.65; 95% CI 2.1 to 3.3).

Conclusion: The success of TB treatment among patients living with HIV in Ethiopia was lower than the WHO standard threshold (85%). HIV coinfection hurts TB treatment success. Therefore, collaborative measurements and management, such as early treatment initiation, follow-up and the management of complications, are important.

Authors

Mekonen H, Negesse A, Dessie G, Desta M, Mihiret GT, Tarik YD, Kitaw TM, Getaneh T

Year

2024

Topics

  • Population(s)
    • General HIV+ population
  • Prevention, Engagement and Care Cascade
    • Engagement and Care Cascade
  • Engagement and Care Cascade
    • Treatment
  • Co-infections
    • Tuberculosis

Link

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